A curated catalogue of human genomic structural variation




Variant Details

Variant: essv9964



Internal ID9632155
Landmark
Location Information
TypeCoordinatesAssemblyOther Links
Innerchr9:112620973..112793130hg38UCSC Ensembl
Outerchr9:112609117..112831828hg38UCSC Ensembl
Innerchr9:115383253..115555410hg19UCSC Ensembl
Outerchr9:115371397..115594108hg19UCSC Ensembl
Innerchr9:114423074..114595231hg18UCSC Ensembl
Outerchr9:114411218..114633929hg18UCSC Ensembl
Innerchr9:112462808..112634965hg17UCSC Ensembl
Outerchr9:112450952..112673663hg17UCSC Ensembl
Cytoband9q32
Allele length
AssemblyAllele length
hg38222712
hg19222712
hg18222712
hg17222712
Variant TypeCNV gain
Copy Number
Allele State
Allele Origin
Probe Count
Validation Flag
Merged StatusS
Merged Variantsesv2757350
Supporting Variants
SamplesNA19204
Known GenesINIP, KIAA1958, SNX30
MethodSNP array
AnalysisThe algorithm used to call CNVs using the 500K EA platform was developed to accurately define CNV regions using a large set of reference samples and is described in detail in a separate publication (Komura 2006). The algorithm contains three major parts: 1) Intensity pre-processing using an improved version of Genomic Imbalance Map (GIM) (Ishikawa et al. 2005), including probe selection, noise reduction, normalization, and intensity ratio adjustment based on affinity differences between alleles of a SNP, 2) CNV extraction, which identifies CNVs from all pair-wise comparisons using a modified SW-ARRAY, and 3) A copy number inference step which utilizes signal ratios and SNP information to more precisely define CNV boundaries and the copy number within each region.
PlatformAffymetrix GeneChip Early Access Mapping 500K Set Array (250K_Nsp_SNP)
Comments
ReferenceRedon_et_al_2006
Pubmed ID17122850
Accession Number(s)essv9964
Frequency
Sample Size270
Observed Gain1
Observed Loss0
Observed Complex0
Frequencyn/a


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